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Google Research, 2022 & beyond: Robotics

Google Research AI blog

As we do this, we’re transforming robot learning into a scalable data problem so that we can scale learning of generalized low-level skills, like manipulation. In this blog post, we’ll review key learnings and themes from our explorations in 2022.

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Simplify continuous learning of Amazon Comprehend custom models using Comprehend flywheel

AWS Machine Learning Blog

Using flywheel for custom classification You can use the flywheel’s active model version to run analysis jobs for custom classification.

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Stanford AI Lab Papers and Talks at ICLR 2022

The Stanford AI Lab Blog

The International Conference on Learning Representations (ICLR) 2022 is being hosted virtually from April 25th - April 29th. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford!

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TiC-CLIP: Continual Training of CLIP Models

Machine Learning Research at Apple

This problem is exacerbated by the lack of any large scale continual learning benchmarks or baselines. We introduce the first set of web-scale Time-Continual (TiC) benchmarks for training vision-language models: TiC-DataComp, TiC-YFCC, and TiC-Redcaps. timestamped image-text pairs spanning 9 years (2014-2022).

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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). Privacy in Learning : With AI models sharing knowledge, ensuring the privacy of the underlying data is crucial.

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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

In 2022, companies had an average of 3.8 Using common terminology, holding regular discussions with stakeholders, and creating a culture of AI awareness and continuous learning can help achieve these goals. They also use privacy-preserving learning techniques, such as creating synthetic data to overcome sparsity issues.

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Beyond Generative AI: Building a Comprehensive and Scalable Digital Infrastructure

Unite.AI

Google Trends data visualizes GenAI’s rise to the center of business relevance since 2022, peaking in June 2023. Empower Your Talent With a clear understanding of where operational processes can be improved, consider how to give time back to your teams—freeing up space for continued learning in preparation for GenAI.